中文说明：应用背景稀疏的主成分分析基本概念，稀疏主成分分析算法，用于特征提取，维数约简-Sparse Principle Component Analysis for feature extraction关键技术稀疏主成分分析算法，稀疏的主成分分析基本概念，有部分使用例子，用于特征提取，维数约简，很好地学习这方面基本知识的材料
English Description：
Application backgroundSparse principal component analysis Principle Component Analysis for feature extraction -Sparse is used for feature extraction, feature extraction, and feature extraction.Key TechnologySparse principal component analysis algorithm, sparse principal component analysis of the basic concepts, there are some examples of use for feature extraction, dimensionality reduction, a good study of the basic knowledge of the material